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Proceedings Paper

Airborne hyperspectral scanner and laser altimeter data application to water reservoirs and water use calculation: first results on two Italian case study
Author(s): A. Fais; P. Nino; U. Minelli
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Paper Abstract

In the framework of MONIDRI (Development of DSS on water use monitoring and optimisation, based on the integration of calculation and evaluation models) research project (financed on the basis of Italian research Ministry strategic program), two Airborne remote sensing sensors have been experimented. The Compact Airborne Spectrographic Imager (CASI) allows to a very accurate crop recognition. This is specially required in crop water requirements (CWR) calculation, that could change between different varieties of the same cultivation. A significant results has been obtained in Abruzzo region, where the use of CASI allows to recognise different vineyards varieties (red and white). Thanks to the use of this platform it's possible to define clusters of crops with similar WR and spectral firm. These clusters could be used in LANDSAT TM image processing for agricultural water use monitoring. The ALTM1210 (Airborne laser altimeter) allows to produce DEM with extraordinary geometric accuracy (elevation points each 20 cm). In two case studies the ALTM has been utilised to produce DEM with 3 m of geometric resolution. This data have been integrated to a soil erosion calculation model to simulate the future volume losses of artificial lakes for irrigation. The other ALTM application consists of the integrated use of DEM with LANDSAT TM to monitor the seasonal level and surface of irrigation lakes, and to estimate the available volumes on the basis of surfaces/volumes diagrams, according to the lake project data.

Paper Details

Date Published: 18 October 2005
PDF: 12 pages
Proc. SPIE 5976, Remote Sensing for Agriculture, Ecosystems, and Hydrology VII, 59760H (18 October 2005); doi: 10.1117/12.627787
Show Author Affiliations
A. Fais, Natl. Institute of Agricultural Economics (Italy)
P. Nino, Natl. Institute of Agricultural Economics (Italy)
U. Minelli, Snamprogetti (Italy)

Published in SPIE Proceedings Vol. 5976:
Remote Sensing for Agriculture, Ecosystems, and Hydrology VII
Manfred Owe; Guido D'Urso, Editor(s)

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